Evidence map›Paper›PMID 34771892›Full record

ArticleMaterials (Basel, Switzerland)2021

A Robust and Wearable Triboelectric Tactile Patch as Intelligent Human-Machine Interface.

Zhiyuan Hu, Junpeng Wang, Yan Wang, Chuan Wang, Yawei Wang, Ziyi Zhang, Peng Xu, Tiancong Zhao, Yu Luan, Chang Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 2 countries.

Zhiyuan HuDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
Junpeng WangDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
Yan WangDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
Chuan WangDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
Yawei WangDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
Ziyi ZhangDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
Peng XuDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
Tiancong ZhaoSchool of Marine Engineering and Technology, Sun Yat-sen University, Guangzhou 510275, China.ORCID 0000-0002-4898-4905
Yu LuanDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
Chang LiuDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
Lin QiaoNavigation College, Dalian Maritime University, Dalian 116026, China.
Mingrui ShuInstitute for Ocean Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen 518000, China.
Jianchun MiCollege of Engineering, Peking University, Beijing 100871, China.
Xinxiang PanSchool of Electronics and Information Technology, Guangdong Ocean University, Zhanjiang 524088, China.ORCID 0000-0002-0251-5679
Minyi XuDalian Key Laboratory of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian 116026, China.ORCID 0000-0002-3772-8340
Dalian Maritime University · CNNational University of Singapore · SGGuangdong Ocean University · CNPeking University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human-machine interface plays an important role in the diversified interactions between humans and machines, especially by swaping information exchange between human and machine operations. Considering the high wearable compatibility and self-powered capability, triboelectric-based interfaces have attracted increasing attention. Herein, this work developed a minimalist and stable interacting patch with the function of sensing and robot controlling based on triboelectric nanogenerator. This robust and wearable patch is composed of several flexible materials, namely polytetrafluoroethylene (PTFE), nylon, hydrogels electrode, and silicone rubber substrate. A signal-processing circuit was used in this patch to convert the sensor signal into a more stable signal (the deviation within 0.1 V), which provides a more effective method for sensing and robot control in a wireless way. Thus, the device can be used to control the movement of robots in real-time and exhibits a good stable performance. A specific algorithm was used in this patch to convert the 1D serial number into a 2D coordinate system, so that the click of the finger can be converted into a sliding track, so as to achieve the trajectory generation of a robot in a wireless way. It is believed that the device-based human-machine interaction with minimalist design has great potential in applications for contact perception, 2D control, robotics, and wearable electronics.

Indexed as

human–machine interfacehydrogelsrobot controltactile patchtriboelectric nanogenerator

Identifiers

PMID34771892
PMCPMC8585222
OpenAlexW3208548975

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.